Evidence map›Paper›PMID 36754006›Full record

ArticleClinical journal of the American Society of Nephrology : CJASN2023

Evaluating Kidney Function Decline in Children with Chronic Kidney Disease Using a Multi-Institutional Electronic Health Record Database.

Caroline A Gluck, Christopher B Forrest, Amy Goodwin Davies, Mitchell Maltenfort, Jill R Mcdonald, Mark Mitsnefes, Vikas R Dharnidharka, Bradley P Dixon, Joseph T Flynn, Michael J Somers and 9 more

Abstract readMulticenter Study
In one paragraph

Article in Clinical journal of the American Society of Nephrology : CJASN, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Association of UACR and UPCR with kidney failure: analysis of observational data in children with chronic kidney disease.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
    Observational
  3. Review
  4. The Use of Extrapolation to Promote Clinical Trials in Pediatric Nephrology.Journal of the American Society of Nephrology : JASN · 2026
    Article
  5. Article
  6. Article
  7. KDIGO 2024 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease in Children and Adults: a commentary from the European Renal Best Practice (ERBP).Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Article
  8. Review
  9. Leveraging Electronic Health Record to Monitor Progression of Kidney Disease in Children.Clinical journal of the American Society of Nephrology : CJASN · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Caroline A GluckDivision of Pediatric Nephrology, Nemours Children's Health, Wilmington, Delaware.
Christopher B ForrestDepartment of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0003-1252-068
Amy Goodwin DaviesApplied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.ORCID 0000-0002-2942-4654
Mitchell MaltenfortApplied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Jill R McdonaldApplied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Mark MitsnefesDivision of Pediatric Nephrology, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio.ORCID 0000-0002-9904-0250
Vikas R DharnidharkaDivision of Pediatric Nephrology, Hypertension, Pheresis, St. Louis Children's Hospital, Washington University in St. Louis, St. Louis, Missouri.
Bradley P DixonDivision of Pediatric Nephrology, University of Colorado School of Medicine, Aurora, Colorado.ORCID 0000-0003-3704-0922
Joseph T FlynnDivision of Pediatric Nephrology, Seattle Children's Hospital, Seattle, Washington.ORCID 0000-0001-7232-7975
Michael J SomersDivision of Pediatric Nephrology, Boston Children's, Boston, Massachusetts.
William E SmoyerDivision of Pediatric Nephrology, Nationwide Children's Hospital, Columbus, Ohio.
Alicia NeuDivision of Pediatric Nephrology, Johns Hopkins School of Medicine, Baltimore, Maryland.
Collin A HovingaClinical and Scientific Development, Institute for Advanced Clinical Trials for Children, Rockville, Maryland.
Amy L SkverskyBayer AG, Pharmaceuticals Research & Development, Leverkusen/Wuppertal/Berlin, Germany.
Thomas EissingBayer AG, Pharmaceuticals Research & Development, Leverkusen/Wuppertal/Berlin, Germany.ORCID 0000-0003-4378-3423
Andreas KaiserBayer AG, Pharmaceuticals Research & Development, Leverkusen/Wuppertal/Berlin, Germany.
Stefanie BreitensteinBayer AG, Pharmaceuticals Research & Development, Leverkusen/Wuppertal/Berlin, Germany.
Susan L FurthDepartment of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Michelle R DenburgDepartment of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objectives of this study were to use electronic health record data from a US national multicenter pediatric network to identify a large cohort of children with CKD, evaluate CKD progression, and examine clinical risk factors for kidney function decline.

methodsThis retrospective cohort study identified children seen between January 1, 2009, to February 28, 2022. Data were from six pediatric health systems in PEDSnet. We identified children aged 18 months to 18 years who met criteria for CKD: two eGFR values <90 and ≥15 ml/min per 1.73 m2 separated by ≥90 days without an intervening value ≥90. CKD progression was defined as a composite outcome: eGFR <15 ml/min per 1.73 m2, ≥50% eGFR decline, long-term dialysis, or kidney transplant. Subcohorts were defined based on CKD etiology: glomerular, nonglomerular, or malignancy. We assessed the association of hypertension (≥2 visits with hypertension diagnosis code) and proteinuria (≥1 urinalysis with ≥1+ protein) within 2 years of cohort entrance on the composite outcome.

resultsAmong 7,148,875 children, we identified 11,240 (15.7 per 10,000) with CKD (median age 11 years, 50% female). The median follow-up was 5.1 (interquartile range 2.8-8.3) years, the median initial eGFR was 75.3 (interquartile range 61-83) ml/min per 1.73 m2, 37% had proteinuria, and 35% had hypertension. The following were associated with CKD progression: lower eGFR category (adjusted hazard ratio [aHR] 1.44 [95% confidence interval (95% CI), 1.23 to 1.69], aHR 2.38 [95% CI, 2.02 to 2.79], aHR 5.75 [95% CI, 5.05 to 6.55] for eGFR 45-59 ml/min per 1.73 m2, 30-44 ml/min per 1.73 m2, 15-29 ml/min per 1.73 m2 at cohort entrance, respectively, when compared with eGFR 60-89 ml/min per 1.73 m2), glomerular disease (aHR 2.01 [95% CI, 1.78 to 2.28]), malignancy (aHR 1.79 [95% CI, 1.52 to 2.11]), proteinuria (aHR 2.23 [95% CI, 1.89 to 2.62]), hypertension (aHR 1.49 [95% CI, 1.22 to 1.82]), proteinuria and hypertension together (aHR 3.98 [95% CI, 3.40 to 4.68]), count of complex chronic comorbidities (aHR 1.07 [95% CI, 1.05 to 1.10] per additional comorbid body system), male sex (aHR 1.16 [95% CI, 1.05 to 1.28]), and younger age at cohort entrance (aHR 0.95 [95% CI, 0.94 to 0.96] per year older).

conclusionsIn large-scale real-world data for children with CKD, disease etiology, albuminuria, hypertension, age, male sex, lower eGFR, and greater medical complexity at start of follow-up were associated with more rapid decline in kidney function.

Indexed as

HypertensionRenal Insufficiency, ChronicChildDisease ProgressionElectronic Health RecordsFemaleGlomerular Filtration RateHumansKidneyMaleProteinuriaRetrospective StudiesRisk Factors

Identifiers

PMID36754006
PMCPMC10103199

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.